Dairy cow feed precise grading feeding system and method

Abstract

The invention relates to the technical field of precise feeding, in particular to a milk cow feed precise grading feeding system and method. The data analysis module is used for determining the health state of the dairy cow according to the change type of the physiological activity characteristics of the dairy cow within the first preset duration; the feeding method determining module is used for determining a feeding method according to the health state of the dairy cow and the production performance tendency value of the dairy cow; the feeding module is used for conveying a corresponding type of feed to a dairy cow trough according to a corresponding feeding method; the adjusting module is used for determining whether to adjust the feeding method determining process parameters or not according to the fluctuation degree of the production performance growth of the dairy cow in the preset period; by improving the analysis of the production performance of the dairy cows for graded feeding, the feeding accuracy of the dairy cows is improved, and then the production performance of the dairy cows is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of precision feeding, and in particular to a system and method for precisely grading and feeding dairy cow feed. Background Art

[0002] In traditional dairy farming, feeding often lacks specificity and precision. Usually, a unified feed formula and feeding method are used, which cannot fully take into account the individual differences of each cow, including its health status, production performance tendency, and living environment. The health status of different cows varies. Some cows may be in a stable physiological state, while others may fluctuate. If the health status of the cows cannot be accurately judged and the feeding method cannot be adjusted accordingly, the health and production performance of the cows may be affected. For example, for cows in poor health, if inappropriate feed is given, it may aggravate their condition or reduce milk production. The production performance tendency value of the cow is crucial to determine the appropriate feeding method. In traditional farming, only a single indicator such as milk production is often focused on, while factors such as feed conversion rate and milk fat content of the produced milk are ignored. At the same time, it is difficult to achieve precise feeding to optimize production performance without considering the different performances of cows in normal and abnormal periods.

[0003] Chinese patent application publication number: CN117016418A discloses a precision feeding system suitable for dairy cow farming, which belongs to the technical field of dairy cow farming. It is equipped with a first pressure sensor and a second pressure sensor, which can measure the weight of feed in the trough and the weight of the cow in the feeding cage in real time, and record the historical data of each cow. Therefore, the feed input amount can be obtained based on the historical data, the weight of feed in the trough and the weight of the cow in the feeding cage, and the deep learning method is introduced to achieve precise feeding of dairy cow farming.

[0004] It can be seen that the existing technology cannot accurately analyze the production performance of dairy cows, resulting in inaccurate graded feeding, which reduces the accuracy of feeding dairy cows and thus reduces the production performance of dairy cows. Summary of the invention

[0005] To this end, the present invention provides a system and method for accurately grading and feeding dairy cow feed, so as to overcome the problem in the prior art that the production performance of dairy cows cannot be accurately analyzed, resulting in inaccurate grading and feeding, which reduces the accuracy of feeding dairy cows and thus reduces the production performance of dairy cows.

[0006] To achieve the above object, the present invention provides a system for accurately grading and feeding dairy cow feed, comprising: A data acquisition module, comprising a dairy cow data acquisition unit for acquiring dairy cow data and an environmental data acquisition unit for acquiring dairy cow living environment data; A data analysis module, which is connected to the data acquisition module and is used to determine the health status of the cow according to the change type of the physiological activity characteristics of the cow within a first preset time period, wherein the change type of the physiological activity characteristics of the cow includes a stable type and a fluctuating type; A feeding method determination module, which is connected to the data analysis module and is used to determine the feeding method according to the health status of the dairy cow and the production performance tendency value of the dairy cow, the production performance tendency value of the dairy cow is determined according to the milk production and the fat content of the milk produced by the dairy cow in the normal period within the second preset time period and the feed conversion rate of the dairy cow in the abnormal period, the life period type of the dairy cow is determined according to the environmental parameters of the living environment of the dairy cow, and the life period type of the dairy cow includes a normal period and an abnormal period; A feeding module, which is connected to the feeding method determination module and is used to deliver corresponding types of feed to the cow trough according to the corresponding feeding method; An adjustment module is respectively connected to the data analysis module and the feeding method determination module, and is used to determine whether to adjust the feeding method determination process parameters according to the fluctuation degree of the production performance growth of the dairy cow within a preset period, and the feeding method determination process parameters include a preset fluctuation range and a preset production performance tendency value.

[0007] Furthermore, the data analysis module determines the health status of the cow according to the change type of the physiological activity characteristics of the cow within the first preset time period, including: The data analysis module determines the health of the cow according to the change type of the physiological activity characteristics of the cow within the first preset time period being a stable type; The data analysis module determines that the cow is abnormal according to the change type of the physiological activity characteristics of the cow within the first preset time period being a fluctuation type.

[0008] Furthermore, the data analysis module determines that the change types of the physiological activity characteristics of the cow within the first preset time period include: The data analysis module determines that the change type of the physiological activity characteristics of the cow is a stable type according to the comparison result that the fluctuation amplitude of the physiological activity parameters of the cow within the first preset time period is less than the preset fluctuation amplitude; The data analysis module determines that the change type of the physiological activity characteristic of the cow is a fluctuation type according to the comparison result that the fluctuation amplitude of the physiological activity parameter of the cow within the first preset time period is greater than or equal to the preset fluctuation amplitude.

[0009] Furthermore, the feeding method determination module determines the feeding method according to the health status of the dairy cow and the production performance tendency value of the dairy cow, including: The feeding method determination module determines to feed with a high nutrient density feeding method according to the comparison result that the health status of the dairy cow is healthy and the production performance tendency value of the dairy cow is greater than the preset production performance tendency value; The feeding method determination module determines to feed with a low nutrient density feeding method according to a comparison result that the health status of the dairy cow is healthy and the production performance tendency value of the dairy cow is less than or equal to a preset production performance tendency value; The feeding method determination module determines that the cow is fed with an abnormal targeted feeding method according to whether the cow's health status is abnormal.

[0010] Furthermore, the feeding method determination module calculates the production performance tendency value based on the sum of the ratio of the milk production of the cows in a normal period to the preset milk production within a second preset time period, the ratio of the fat content of the produced milk to the preset fat content, and the ratio of the feed conversion rate of the cows in an abnormal period to the preset feed conversion rate.

[0011] Furthermore, the feeding method determination module determines the life period type of the cow according to the environmental parameters of the cow's living environment, including: The feeding method determination module determines that the life period type of the dairy cow is a normal period according to the comparison result that the environmental parameters of the dairy cow's living environment are within the preset environmental parameter range; The feeding method determination module determines that the type of the cow's living period is an abnormal period according to the comparison result that the environmental parameters of the cow's living environment are not within the preset environmental parameter range.

[0012] Furthermore, the feeding module delivers corresponding types of feed to the cow trough according to the corresponding feeding method, including: The feeding module determines to deliver high-nutrition feed to the cow trough under the condition of feeding with a high-nutrient-density feeding method; The feeding module determines to deliver low-nutrient feed to the cow trough under the condition of feeding with a low-nutrient-density feeding method; The feeding module determines to deliver targeted feed to the cow trough under the condition of feeding with an abnormal targeted feeding method.

[0013] Furthermore, the adjustment module determines whether to adjust the process parameters of the feeding method according to the fluctuation degree of the production performance growth of the dairy cow within a preset period, including: The adjustment module determines that the process parameters of the feeding method need to be adjusted according to the comparison result that the fluctuation degree of the production performance growth of the dairy cow within the preset period is greater than the fluctuation degree of the preset production performance growth.

[0014] Furthermore, the adjustment amount of the preset fluctuation amplitude is negatively correlated with the fluctuation degree of the production performance growth of the dairy cow within the preset period, and the adjustment amount of the preset production performance tendency value is positively correlated with the fluctuation degree of the production performance growth of the dairy cow within the preset period.

[0015] A method applied to the precise grading feeding system for dairy cow feed, comprising: Step S1, obtaining dairy cow data and dairy cow living environment data; Step S2, determining the health status of the cow based on the change type of the physiological activity characteristics of the cow within the first preset time period, wherein the change type of the physiological activity characteristics of the cow includes a stable type and a fluctuating type; Step S3, determining a feeding method based on the health status of the dairy cow and the production performance tendency value of the dairy cow, wherein the production performance tendency value of the dairy cow is determined according to the milk production and the fat content of the milk produced by the dairy cow in a normal period within a second preset time period and the feed conversion rate of the dairy cow in an abnormal period, and the life period type of the dairy cow is determined according to the environmental parameters of the living environment of the dairy cow, and the life period type of the dairy cow includes a normal period and an abnormal period; Step S4, delivering corresponding types of feed to the cow trough according to corresponding feeding methods; Step S5, determining whether to adjust the process parameters of the feeding method based on the fluctuation degree of the growth of the production performance of the dairy cow within a preset period, wherein the process parameters of the feeding method include a preset fluctuation range and a preset production performance tendency value.

[0016] Compared with the prior art, the beneficial effect of the present invention is that the present invention helps to carry out targeted management of different types of dairy cows by accurately dividing dairy cows into healthy and stable types and abnormal and fluctuating types, which can avoid the waste of resources and inaccurate management problems that may be caused by adopting a unified management method for all dairy cows. Feed is reasonably allocated according to the health status and needs of dairy cows to ensure that resources are used most effectively. For example, conventional high-quality feed can be provided to healthy dairy cows, while special nutritional supplements or therapeutic feed can be provided to abnormal dairy cows. Health problems of dairy cows can be discovered and dealt with in time, which helps to improve the quality of life and welfare level of dairy cows. Healthy dairy cows can better exert their production performance. Advanced physiological activity characteristic analysis methods are adopted to improve the scientificity and accuracy of breeding, and higher quality milk products can be produced. The accuracy of analysis of dairy cow production performance is improved through the above method, so as to achieve graded feeding, improve the accuracy of feeding dairy cows and thus improve the production performance of dairy cows.

[0017] Furthermore, the present invention determines the feeding method according to the health status and production performance tendency value of the dairy cow, and can provide each dairy cow with the most suitable feed for its current condition. For healthy dairy cows with high production performance tendency values, a high nutritional density feeding method is adopted to increase the proportion of protein and energy components, which is helpful to further improve their milk production and milk quality and give full play to their production potential. For healthy dairy cows with low production performance tendency values, a low nutritional density feeding method is adopted to avoid waste and potential health problems caused by overfeeding, while reducing feeding costs. When the health status of the dairy cow is abnormal, an abnormal targeted feeding method is adopted according to Adding therapeutic feed ingredients or adjusting feed supply according to specific conditions can effectively help dairy cows recover their health and return to normal production as soon as possible. The calculation of production performance tendency value comprehensively considers multiple key indicators such as milk production and milk fat rate in normal time period and feed conversion rate in abnormal time period, which can comprehensively reflect the production performance of dairy cows. Compared with considering only a single indicator, this calculation method is more scientific and accurate, and provides a reliable basis for determining feeding methods. The above method improves the accuracy of dairy cow production performance analysis and graded feeding, improves the accuracy of dairy cow feeding and thus improves the production performance of dairy cows.

[0018] Furthermore, the present invention accurately delivers corresponding types of feed to the cow trough according to different feeding methods, ensuring that each cow can get the feed that best suits its current condition. For example, for cows that require high nutritional density feeding, delivering high-nutrition feed can meet their higher demands for protein and energy, and promote their growth and milk production; for cows that require low nutritional density feeding, delivering low-nutrition feed can avoid overfeeding and maintain their health. For cows with abnormal health, by delivering targeted feed, therapeutic feed ingredients can be provided or the feed supply can be adjusted according to their specific condition, which helps the cows recover their health as soon as possible and improves the breeding efficiency. The entire system realizes real-time monitoring and analysis of the living environment and health status of cows, and automatically adjusts the feeding method and delivers the corresponding feed according to the analysis results, greatly improving the efficiency and automation of breeding management. The farmer can intuitively understand the various conditions of the cows through the system and make decisions in time, reducing the errors and workload of manual judgment. Feeding decisions are made by comprehensively considering multiple factors such as environmental parameters, cow health status and production performance tendency values, making breeding management more scientific and accurate. The above method improves the accuracy of cow production performance analysis and graded feeding, improves the accuracy of cow feeding and thus improves the production performance of cows.

[0019] Furthermore, the present invention determines whether to adjust the process parameters of the feeding method according to the comparison result of the fluctuation degree of the growth of the production performance of the dairy cow within the preset period and the fluctuation degree of the preset production performance growth, thereby realizing the dynamic optimization of the feeding scheme, so that the changes in the production performance of the dairy cow can be responded to in time, ensuring that the feeding method always matches the actual needs of the dairy cow, and improving the feeding effect. The preset period is set to 10 detection times of the production performance of the dairy cow, which not only ensures the timely response to the changes in production performance, but also avoids the unstable factors caused by too frequent adjustments. At the same time, by calculating the fluctuation degree of the growth of production performance within the preset period, the change trend and stability of the production performance of the dairy cow can be accurately reflected. When it is determined that the process parameters of the feeding method need to be adjusted, the preset fluctuation degree is adjusted by the first adjustment coefficient, and the preset production performance tendency value is adjusted by the second adjustment coefficient. The value ranges of the first adjustment coefficient and the second adjustment coefficient are reasonably set, and the preferred values ​​are given. At the same time, it is clarified that the adjustment amount of the preset fluctuation amplitude is negatively correlated with the fluctuation degree of the production performance growth, and the adjustment amount of the preset production performance tendency value is positively correlated with the fluctuation degree of the production performance growth. Such a design makes the adjustment process more scientific and reasonable, and can better adapt to the changes in the production performance of dairy cows under different circumstances. The above method improves the accuracy of the analysis of the production performance of dairy cows and graded feeding, improves the accuracy of feeding dairy cows and thus improves the production performance of dairy cows. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the structure of a system for accurately grading and feeding dairy cow feed according to an embodiment of the present invention; Figure 2 This is a structural schematic diagram of a data acquisition module in the precise grading feeding system for dairy cow feed according to an embodiment of the present invention; Figure 3 This is a workflow diagram of an adjustment module in the precise grading and feeding system for dairy cow feed according to an embodiment of the present invention; Figure 4 The present invention is a flowchart of a method for accurately grading and feeding a dairy cow feed according to an embodiment of the present invention. DETAILED DESCRIPTION

[0021] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0023] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0024] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] The precise grading feeding system for dairy cow feed according to the embodiment of the present invention comprises: A data acquisition module, comprising a dairy cow data acquisition unit for acquiring dairy cow data and an environmental data acquisition unit for acquiring dairy cow living environment data; A data analysis module, which is connected to the data acquisition module and is used to determine the health status of the cow according to the change type of the physiological activity characteristics of the cow within a first preset time period, wherein the change type of the physiological activity characteristics of the cow includes a stable type and a fluctuating type; A feeding method determination module, which is connected to the data analysis module and is used to determine the feeding method according to the health status of the dairy cow and the production performance tendency value of the dairy cow, the production performance tendency value of the dairy cow is determined according to the milk production and the fat content of the milk produced by the dairy cow in the normal period within the second preset time period and the feed conversion rate of the dairy cow in the abnormal period, the life period type of the dairy cow is determined according to the environmental parameters of the living environment of the dairy cow, and the life period type of the dairy cow includes a normal period and an abnormal period; A feeding module, which is connected to the feeding method determination module and is used to deliver corresponding types of feed to the cow trough according to the corresponding feeding method; An adjustment module is respectively connected to the data analysis module and the feeding method determination module, and is used to determine whether to adjust the feeding method determination process parameters according to the fluctuation degree of the production performance growth of the dairy cow within a preset period, and the feeding method determination process parameters include a preset fluctuation range and a preset production performance tendency value.

[0026] The dairy cow data in the embodiment of the present invention includes but is not limited to "dairy cow production performance data, dairy cow body data and dairy cow feeding behavior data", and the dairy cow living environment data includes but is not limited to "dairy cow living environment temperature data".

[0027] Specifically, the data analysis module determines the health status of the cow according to the change type of the physiological activity characteristics of the cow within a first preset time period under the condition of determining the health status of the cow; If the change type of the physiological activity characteristics of the cow within the first preset time period is a stable type, the data analysis module determines that the cow is healthy; If the change type of the physiological activity characteristics of the cow within the first preset time period is a fluctuation type, the data analysis module determines that the cow is abnormal.

[0028] Specifically, the data analysis module determines the change type of the physiological activity characteristics of the cow according to the comparison result of the fluctuation amplitude of the physiological activity parameters of the cow within the first preset time length and the preset fluctuation amplitude under the condition of determining the change type of the physiological activity characteristics of the cow within the first preset time length; The data analysis module determines that the change type of the physiological activity characteristics of the cow is a stable type according to the comparison result that the fluctuation amplitude of the physiological activity parameters of the cow within the first preset time period is less than the preset fluctuation amplitude; The data analysis module determines that the change type of the physiological activity characteristic of the cow is a fluctuation type according to the comparison result that the fluctuation amplitude of the physiological activity parameter of the cow within the first preset time period is greater than or equal to the preset fluctuation amplitude.

[0029] The physiological activity parameters of the cows described in the embodiment of the present invention include but are not limited to "cow body temperature parameters, cow feeding parameters and cow breathing frequency parameters". The value of the preset time length is preferably 15 days. The fluctuation amplitude of the physiological activity parameters of the cows within the preset time length is the sum of the absolute value difference between the physiological activity parameters of the cows detected each time within the preset time length and the corresponding physiological activity parameter average value within the preset time length. The detection frequency can be set to 2 hours. For example, within the preset time length of 15 days, the body temperature of the cows is recorded every 2 hours by a temperature sensor installed on the cows. First, the average body temperature of the cows within these 15 days is calculated, and the absolute value of the difference between each recorded value and the average value is calculated to obtain the fluctuation amplitude. The preset fluctuation amplitude is determined according to the average value of the fluctuation amplitudes of the physiological activity parameters of a number of cows, but the above value is not limited to this. Those skilled in the art can also adjust the value according to actual needs.

[0030] The present invention helps to carry out targeted management of different types of dairy cows by accurately classifying dairy cows into healthy and stable types and abnormal and fluctuating types, thus avoiding the waste of resources and inaccurate management problems that may be caused by adopting a unified management method for all dairy cows. Feed is reasonably allocated according to the health status and needs of dairy cows to ensure that resources are used most effectively. For example, conventional high-quality feed can be provided to healthy dairy cows, while special nutritional supplements or therapeutic feed can be provided to abnormal dairy cows. Timely discovery and treatment of health problems of dairy cows help improve the quality of life and welfare level of dairy cows. Healthy dairy cows can better exert their production performance. Advanced physiological activity characteristic analysis methods are adopted to improve the scientificity and accuracy of breeding, and higher quality milk products can be produced. The above method improves the accuracy of analysis of dairy cow production performance to achieve graded feeding, improves the accuracy of feeding dairy cows and thus improves the production performance of dairy cows.

[0031] Specifically, the feeding method determination module determines the feeding method according to the health status of the dairy cow and the comparison result of the production performance tendency value of the dairy cow with the preset production performance tendency value under the condition of determining the feeding method; If the health status of the dairy cow is healthy and the production performance tendency value of the dairy cow is greater than the preset production performance tendency value, the feeding method determination module determines to feed the dairy cow with a high nutrient density feeding method; If the health status of the dairy cow is healthy and the production performance tendency value of the dairy cow is less than or equal to the preset production performance tendency value, the feeding method determination module determines to feed the dairy cow with a low nutrient density feeding method; If the health status of the cow is abnormal, the feeding method determination module determines to feed the cow with an abnormal targeted feeding method.

[0032] The feeding with a high nutritional density feeding method in the embodiment of the present invention includes increasing the proportion of components providing protein or energy in the feed by 10% of the original, the feeding with a low nutritional density feeding method includes reducing the proportion of components providing protein or energy in the feed by 10% of the original, and the feeding with an abnormal targeted feeding method includes selecting to add targeted therapeutic feed ingredients or adjusting the feed supply according to the abnormal condition of the dairy cow. For example, if the dairy cow has a metabolic disease of the digestive system, 1%-2% of baking soda can be added or the feed supply can be reduced by 10%-30%. The feed ingredients increased or reduced in the above feeding process can be replaced with hay. The single feed supply during feeding in the above process is determined according to the single average feed supply of the dairy cow within the first preset time period, but the above value is not limited to this, and those skilled in the art can also adjust the value according to actual needs.

[0033] Specifically, the feeding method determination module calculates the production performance tendency value based on the sum of the ratio of the milk production of the cows in a normal period to the preset milk production within the second preset time period, the ratio of the fat content of the produced milk to the preset fat content, and the ratio of the feed conversion rate of the cows in an abnormal period to the preset feed conversion rate.

[0034] In the embodiment of the present invention, the second preset time length can be set to 10 days, but the above value is not limited thereto, and those skilled in the art can also adjust the value according to actual needs.

[0035] The calculation of the production performance tendency value in the embodiment of the present invention includes calculating the production performance tendency value by the sum of the ratio of the milk production of the cows in the normal period to the preset milk production, the ratio of the fat content of the produced milk to the preset fat content, and the ratio of the feed conversion rate of the cows in the abnormal period to the preset feed conversion rate, wherein the preset milk production is the average milk production of healthy cows with the same normal period duration within a first preset time period, wherein the same normal period duration includes the normal period duration of two healthy cows with a difference of no more than 5 hours, the preset fat content is the average fat content of the milk produced by the healthy cows within the first preset time period, the preset feed conversion rate is the average feed conversion rate of the healthy cows within the first preset time period, and the preset production performance tendency value is determined according to the average production performance tendency value of the cows within the first preset time period, but the above value is not limited thereto, and those skilled in the art may also adjust the value according to actual needs.

[0036] The present invention determines the feeding method according to the health status and production performance tendency value of the dairy cow, and can provide each dairy cow with the most suitable feed for its current condition. For the dairy cows that are healthy and have high production performance tendency values, a high nutritional density feeding method is adopted to increase the proportion of protein and energy components, which is helpful to further improve their milk production and milk quality and give full play to their production potential. For the dairy cows that are healthy but have low production performance tendency values, a low nutritional density feeding method is adopted to avoid waste and potential health problems caused by overfeeding, while reducing feeding costs. When the health status of the dairy cow is abnormal, an abnormal targeted feeding method is adopted. According to the specific Adding therapeutic feed ingredients or adjusting feed supply according to the condition can effectively help dairy cows recover their health and return to normal production as soon as possible. The calculation of production performance tendency value comprehensively considers multiple key indicators such as milk production and milk fat rate in normal period and feed conversion rate in abnormal period, which can comprehensively reflect the production performance of dairy cows. Compared with considering only a single indicator, this calculation method is more scientific and accurate, and provides a reliable basis for determining feeding methods. The above method improves the accuracy of dairy cow production performance analysis and graded feeding, improves the accuracy of dairy cow feeding and thus improves the production performance of dairy cows.

[0037] Specifically, the feeding method determination module determines the life period type of the cow according to the comparison result of the environmental parameters of the cow's living environment and the preset environmental parameter range under the condition of determining the life period type of the cow; If the environmental parameters of the living environment of the dairy cow are within the preset environmental parameter range, the feeding method determination module determines that the living period type of the dairy cow is a normal period; If the environmental parameters of the living environment of the dairy cow are not within the preset environmental parameter range, the feeding method determination module determines that the living period type of the dairy cow is an abnormal period.

[0038] In the embodiment of the present invention, the environmental parameter is temperature, and the preset environmental parameter range is determined according to the historical maximum temperature and the historical minimum temperature of the living environment parameters of the cows. The minimum value of the preset environmental parameter range is nine-tenths of the historical minimum temperature, and the maximum value of the preset environmental parameter range is nine-tenths of the historical maximum temperature. For example, the preset environmental parameter range can be set to -30°C-45°C, but the above values ​​are not limited thereto, and those skilled in the art can also adjust the values ​​according to actual needs.

[0039] Specifically, the feeding module delivers corresponding types of feed to the cow trough according to the corresponding feeding method; the feeding module determines to deliver high-nutrition feed to the cow trough under the condition of feeding with a high-nutrition density feeding method; the feeding module determines to deliver low-nutrition feed to the cow trough under the condition of feeding with a low-nutrition density feeding method; the feeding module determines to deliver targeted feed to the cow trough under the condition of feeding with an abnormal targeted feeding method.

[0040] The high-nutrition feed in the embodiment of the present invention includes increasing the proportion of components providing protein or energy in the feed by 10% of the original, the low-nutrition feed includes reducing the proportion of components providing protein or energy in the feed by 10% of the original, and the targeted feed includes adding targeted therapeutic feed ingredients or adjusting the feed supply according to the abnormal condition of the dairy cow.

[0041] The present invention accurately delivers corresponding types of feed to the cow trough according to different feeding methods, ensuring that each cow can get the feed that best suits its current condition. For example, for cows that require high nutritional density feeding, delivering high-nutrition feed can meet their higher demand for protein and energy, and promote their growth and milk production; for cows that require low nutritional density feeding, delivering low-nutrition feed can avoid overfeeding and maintain their health. For cows with abnormal health, by delivering targeted feed, therapeutic feed ingredients can be provided or the feed supply can be adjusted according to their specific condition, which helps the cows recover their health as soon as possible and improves the breeding efficiency. The entire system realizes real-time monitoring and analysis of the living environment and health status of cows, and automatically adjusts the feeding method and delivers the corresponding feed according to the analysis results, greatly improving the efficiency and automation of breeding management. The farmer can intuitively understand the various conditions of the cows through the system and make decisions in time, reducing the errors and workload of manual judgment. Feeding decisions are made by comprehensively considering multiple factors such as environmental parameters, cow health status and production performance tendency values, making breeding management more scientific and accurate. The above method improves the accuracy of cow production performance analysis and graded feeding, improves the accuracy of cow feeding and thus improves the production performance of cows.

[0042] Specifically, the adjustment module determines whether to adjust the process parameters of the feeding method according to the comparison result of the fluctuation degree of the production performance growth of the dairy cow within the preset period and the fluctuation degree of the preset production performance growth under the condition of determining whether to adjust the process parameters of the feeding method: If the fluctuation degree of the growth of the production performance of the dairy cow within the preset period is greater than the preset fluctuation degree of the growth of the production performance, the adjustment module determines that the process parameters of the feeding method need to be adjusted; If the fluctuation degree of the production performance growth of the dairy cow within the preset period is less than or equal to the preset fluctuation degree of the production performance growth, the adjustment module determines that there is no need to adjust the process parameters of the feeding method.

[0043] In the embodiment of the present invention, the preset period is set to 10 detection times of the production performance of the dairy cow, and the fluctuation degree of the growth of the production performance of the dairy cow within the preset period is the sum of the average value of the difference between the growth value of the production performance of the dairy cow detected in a single detection within the preset period and the average growth value of the production performance of the dairy cow within the preset period. The production performance includes milk production or milk fat content of the produced milk (both can be used as production performance, and those skilled in the art can select one as the production performance according to actual conditions), and the fluctuation degree of the preset production performance growth is based on the average value of the average growth value of the production performance of the dairy cow within several preset periods.

[0044] Specifically, under the condition that the adjustment module determines that the process parameters of the feeding method need to be adjusted, the adjustment module determines to adjust the preset fluctuation degree with a first adjustment coefficient, and the adjustment module determines to adjust the preset production performance tendency value with a second adjustment coefficient.

[0045] In the embodiment of the present invention, the value range of the first adjustment coefficient is set to 0.82-0.97, and the value of the first adjustment coefficient is preferably 0.88. The value range of the second adjustment coefficient is set to 1.04-1.18, and the value of the second adjustment coefficient is preferably 1.12. The adjustment amount of the preset fluctuation amplitude is negatively correlated with the fluctuation degree of the production performance growth of the dairy cow within the preset period, and the adjustment amount of the preset production performance tendency value is positively correlated with the fluctuation degree of the production performance growth of the dairy cow within the preset period. However, the above values ​​are not limited to this, and those skilled in the art may also adjust the values ​​according to actual needs.

[0046] The present invention determines whether to adjust the process parameters of the feeding method according to the comparison result of the fluctuation degree of the growth of the production performance of the dairy cow within the preset period and the fluctuation degree of the preset production performance growth, and realizes the dynamic optimization of the feeding scheme, so that the change of the production performance of the dairy cow can be responded to in time, and the feeding method can be ensured to always match the actual needs of the dairy cow, and the feeding effect is improved. The preset period is set to 10 detection times of the production performance of the dairy cow, which not only ensures the timely response to the change of the production performance, but also avoids the unstable factors caused by too frequent adjustment. At the same time, by calculating the fluctuation degree of the growth of the production performance within the preset period, the change trend and stability of the production performance of the dairy cow can be accurately reflected. When it is determined that the process parameters of the feeding method need to be adjusted, the preset fluctuation degree is adjusted by the first adjustment coefficient, and the preset production performance tendency value is adjusted by the second adjustment coefficient. The value ranges of the first adjustment coefficient and the second adjustment coefficient are reasonably set, and the preferred values ​​are given. At the same time, it is clarified that the adjustment amount of the preset fluctuation amplitude is negatively correlated with the fluctuation degree of the production performance growth, and the adjustment amount of the preset production performance tendency value is positively correlated with the fluctuation degree of the production performance growth. Such a design makes the adjustment process more scientific and reasonable, and can better adapt to the changes in the production performance of dairy cows under different circumstances. The above method improves the accuracy of the analysis of the production performance of dairy cows and graded feeding, improves the accuracy of feeding dairy cows and thus improves the production performance of dairy cows.

[0047] Specifically, a method applied to the precise grading feeding system for dairy cow feed comprises: Step S1, obtaining dairy cow data and dairy cow living environment data; Step S2, determining the health status of the cow based on the change type of the physiological activity characteristics of the cow within the first preset time period, wherein the change type of the physiological activity characteristics of the cow includes a stable type and a fluctuating type; Step S3, determining a feeding method based on the health status of the dairy cow and the production performance tendency value of the dairy cow, wherein the production performance tendency value of the dairy cow is determined according to the milk production and the fat content of the milk produced by the dairy cow in a normal period within a second preset time period and the feed conversion rate of the dairy cow in an abnormal period, and the life period type of the dairy cow is determined according to the environmental parameters of the living environment of the dairy cow, and the life period type of the dairy cow includes a normal period and an abnormal period; Step S4, delivering corresponding types of feed to the cow trough according to corresponding feeding methods; Step S5, determining whether to adjust the process parameters of the feeding method based on the fluctuation degree of the growth of the production performance of the dairy cow within a preset period, wherein the process parameters of the feeding method include a preset fluctuation range and a preset production performance tendency value.

[0048] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0049] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A precise grading feeding system for dairy cow feed, characterized in that: include: A data acquisition module, comprising a dairy cow data acquisition unit for acquiring dairy cow data and an environmental data acquisition unit for acquiring dairy cow living environment data; A data analysis module, which is connected to the data acquisition module and is used to determine the health status of the cow according to the change type of the physiological activity characteristics of the cow within a first preset time period, wherein the change type of the physiological activity characteristics of the cow includes a stable type and a fluctuating type; A feeding method determination module, which is connected to the data analysis module and is used to determine the feeding method according to the health status of the dairy cow and the production performance tendency value of the dairy cow, the production performance tendency value of the dairy cow is determined according to the milk production and the fat content of the milk produced by the dairy cow in the normal period within the second preset time period and the feed conversion rate of the dairy cow in the abnormal period, the life period type of the dairy cow is determined according to the environmental parameters of the living environment of the dairy cow, and the life period type of the dairy cow includes a normal period and an abnormal period; A feeding module, which is connected to the feeding method determination module and is used to deliver corresponding types of feed to the cow trough according to the corresponding feeding method; An adjustment module is respectively connected to the data analysis module and the feeding method determination module, and is used to determine whether to adjust the feeding method determination process parameters according to the fluctuation degree of the production performance growth of the dairy cow within a preset period, and the feeding method determination process parameters include a preset fluctuation range and a preset production performance tendency value.

2. The precise grading feeding system for dairy cow feed according to claim 1, characterized in that: The data analysis module determines the health status of the cow according to the change type of the physiological activity characteristics of the cow within the first preset time period, including: The data analysis module determines the health of the cow according to the change type of the physiological activity characteristics of the cow within the first preset time period being a stable type; The data analysis module determines that the cow is abnormal according to the change type of the physiological activity characteristics of the cow within the first preset time period being a fluctuation type.

3. The precise grading feeding system for dairy cow feed according to claim 2, characterized in that: The data analysis module determines that the change types of the physiological activity characteristics of the cow within the first preset time period include: The data analysis module determines that the change type of the physiological activity characteristics of the cow is a stable type according to the comparison result that the fluctuation amplitude of the physiological activity parameters of the cow within the first preset time period is less than the preset fluctuation amplitude; The data analysis module determines that the change type of the physiological activity characteristic of the cow is a fluctuation type according to the comparison result that the fluctuation amplitude of the physiological activity parameter of the cow within the first preset time period is greater than or equal to the preset fluctuation amplitude.

4. The precise grading feeding system for dairy cow feed according to claim 3, characterized in that: The feeding method determination module determines the feeding method according to the health status of the dairy cow and the production performance tendency value of the dairy cow, including: The feeding method determination module determines to feed with a high nutrient density feeding method according to the comparison result that the health status of the dairy cow is healthy and the production performance tendency value of the dairy cow is greater than the preset production performance tendency value; The feeding method determination module determines to feed with a low nutrient density feeding method according to a comparison result that the health status of the dairy cow is healthy and the production performance tendency value of the dairy cow is less than or equal to a preset production performance tendency value; The feeding method determination module determines that the cow is fed with an abnormal targeted feeding method according to whether the cow's health status is abnormal.

5. The precise grading feeding system for dairy cow feed according to claim 4, characterized in that: The feeding method determination module calculates the production performance tendency value based on the sum of the ratio of the milk production of the cows in a normal period to the preset milk production within the second preset time period, the ratio of the fat content of the produced milk to the preset fat content, and the ratio of the feed conversion rate of the cows in an abnormal period to the preset feed conversion rate.

6. The precise grading feeding system for dairy cow feed according to claim 5, characterized in that: The feeding method determination module determines the life period type of the cow according to the environmental parameters of the cow's living environment, including: The feeding method determination module determines that the life period type of the dairy cow is a normal period according to the comparison result that the environmental parameters of the dairy cow's living environment are within the preset environmental parameter range; The feeding method determination module determines that the type of the cow's living period is an abnormal period according to the comparison result that the environmental parameters of the cow's living environment are not within the preset environmental parameter range.

7. The precise grading feeding system for dairy cow feed according to claim 6, characterized in that: The feeding module delivers corresponding types of feed to the cow trough according to the corresponding feeding method, including: The feeding module determines to deliver high-nutrition feed to the cow trough under the condition of feeding with a high-nutrient-density feeding method; The feeding module determines to deliver low-nutrient feed to the cow trough under the condition of feeding with a low-nutrient-density feeding method; The feeding module determines to deliver targeted feed to the cow trough under the condition of feeding with an abnormal targeted feeding method.

8. The precise grading feeding system for dairy cow feed according to claim 7, characterized in that: The adjustment module determines whether to adjust the process parameters of the feeding method according to the fluctuation degree of the production performance growth of the dairy cow within a preset period, including: The adjustment module determines that the process parameters of the feeding method need to be adjusted according to the comparison result that the fluctuation degree of the production performance growth of the dairy cow within the preset period is greater than the fluctuation degree of the preset production performance growth.

9. The precise grading feeding system for dairy cow feed according to claim 8, characterized in that: The adjustment amount of the preset fluctuation amplitude is negatively correlated with the fluctuation degree of the production performance growth of the dairy cow within the preset period, and the adjustment amount of the preset production performance tendency value is positively correlated with the fluctuation degree of the production performance growth of the dairy cow within the preset period.

10. A method for applying the precise grading feeding system for dairy cow feed according to any one of claims 1 to 9, characterized in that: include: Step S1, obtaining dairy cow data and dairy cow living environment data; Step S2, determining the health status of the cow based on the change type of the physiological activity characteristics of the cow within the first preset time period, wherein the change type of the physiological activity characteristics of the cow includes a stable type and a fluctuating type; Step S3, determining a feeding method based on the health status of the dairy cow and the production performance tendency value of the dairy cow, wherein the production performance tendency value of the dairy cow is determined according to the milk production and the fat content of the milk produced by the dairy cow in a normal period within a second preset time period and the feed conversion rate of the dairy cow in an abnormal period, and the life period type of the dairy cow is determined according to the environmental parameters of the living environment of the dairy cow, and the life period type of the dairy cow includes a normal period and an abnormal period; Step S4, delivering corresponding types of feed to the cow trough according to corresponding feeding methods; Step S5, determining whether to adjust the process parameters of the feeding method based on the fluctuation degree of the growth of the production performance of the dairy cow within a preset period, wherein the process parameters of the feeding method include a preset fluctuation range and a preset production performance tendency value.

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